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Your search for "2025" yielded 26628 hits

Hassan Hamadi

Doctoral student Contact details Email: hassan [dot] hamadi [at] fek [dot] lu [dot] seOrganisation Entrepreneurship Service point: 10 WebpageHassan Hamadis profile in Lund University research portal Publications Displaying of publications. Sorted by year, then title. Filter by type AllConference paper Filter AUGMENTED INFERENCE MAKING : ORGANIZAING THE CHAIN OF THOUGHT TRIALS FROM PERCEPTION TO CO

https://www.lusem.lu.se/hassan-hamadi - 2025-12-23

Rohit Yadav

Doctoral student Contact details Email: rohit [dot] yadav [at] fysik [dot] lu [dot] seOrganisation Synchrotron Radiation Research Service point: 14 WebpageRohit Yadavs profile in Lund University research portalOther affiliations Profile area member LTH Profile Area: Nanoscience and Semiconductor Technology Profile area member LTH Profile Area: Photon Science and Technology Profile area member LU P

https://www.sljus.lu.se/rohit-yadav - 2025-12-23

Kristoffer Lundgren

Doctoral student Contact details Email: kristoffer [dot] lundgren [at] chem [dot] lu [dot] seOrganisation Computational Chemistry Service point: 1 WebpageKristoffer Lundgrens profile in Lund University research portal Publications Displaying of publications. Sorted by year, then title. Filter by type AllDissertationJournal article Filter Critical evaluation of three cryo-EM structures of particula

https://www.compchem.lu.se/kristoffer-lundgren - 2025-12-23

Igor Martins

Forskare Kontaktinformation E-post: igor [dot] martins [at] ekh [dot] lu [dot] seOrganisation Ekonomisk-historiska institutionen Besöksadress: Scheelevägen 15B, Alfa 1, Lund Rumsnummer: Alfa 1:2060 Hämtställe: 10 WebbplatsIgor Martins profil i Lunds universitets forskningsportalPersonlig webbplats:https://www.ibmartins.com/Andra roller Gästlärare Institutionen för kulturgeografi och ekonomisk geog

https://www.ehl.lu.se/igor-martins - 2025-12-23

Riya Raphael

Lärare Kontaktinformation E-post: riya [dot] raphael [at] genus [dot] lu [dot] seOrganisation Genusvetenskap Hämtställe: 31 WebbplatsRiya Raphaels profil i Lunds universitets forskningsportalAndra roller Universitetslektor GenusvetenskapBakgrundJag avslutade min doktorandutbildning 2021 med avhandlingen ”Circles of Value: A Study of Working Lives of Informal Sector Traders in Delhi, India”. Min fo

https://www.genus.lu.se/riya-raphael - 2025-12-23

Iuliana Ionita-Laza

Gästprofessor Kontaktinformation E-post: iuliana [dot] ionita-laza [at] stat [dot] lu [dot] seOrganisation Statistiska institutionen Rumsnummer: EC1:343 Hämtställe: 10 WebbplatsIuliana Ionita-Lazas profil i Lunds universitets forskningsportal Publikationer Visar av publikationer. Sorterade efter år och sen titel. Filtrera efter typ AllaArtikel i tidskrift Filtrera Quantile-specific confounding : c

https://www.ehl.lu.se/iuliana-ionita-laza - 2025-12-23

Rami Zalfou

PhD Student Contact details Email: rami [dot] zalfou [at] ekh [dot] lu [dot] seOrganisation Department of Economic History Service point: 10 WebpageRami Zalfous profile in Lund University research portalOther affiliations Visiting research fellow Centre for Economic Demography Doctoral student Centre for Advanced Middle Eastern Studies (CMES)Rami Zalfou is a PhD Candidate in Economic History. He h

https://www.cmes.lu.se/rami-zalfou - 2025-12-23

Samarbeten i Afrika

Lunds universitet samverkar och samarbetar med toppuniversitet världen över genom internationella nätverk, samarbetsprogram och plattformar. Globalt dynamiskt engagemang (GDE) är Lunds universitets arbetssätt för att stärka och vidareutveckla vårt internationella genomslag inom forskning och utbildning, samt när det gäller nätverk och innovation.  I detta arbete är demokrati, mänskliga rättigheter

https://www.lu.se/om-universitetet/globalt-engagemang-och-internationella-samarbeten/samarbeten-i-afrika - 2025-12-22

Catching common vulnerabilities with code language models

Code Language Model (code-LM)-based vulnerability detection for C/C++ faces a substantial challenge. Previous research has shown that even though it is better than any prior machine learning approach, it still struggles to generalize well, as shown by the low F1 score. Prior works treated the problem as a binary classification: either vulnerable or non-vulnerable. Looking deeper at the various vul